2021 Ken Kennedy AI and Data Science Conference has ended

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2021 Ken Kennedy AI and Data Science Conference

#1

Automatic Machine Learning with AutoGluon - Algorithms, Domains, Applications - Auditorium

#2

Scalable and Sustainable AI Acceleration for Everyone: Hashing Algorithms Train Billion-parameter AI Models on a Commodity CPU faster than Hardware Accelerators - Auditorium

#3

Democratizing Deep Learning with Commodity Hardware: How to Train Large Deep Learning Models on CPU Efficiently with Sparsity - Auditorium

#4

How to Deal with Volume and Velocity Associated with Hundreds of Terabytes (and Beyond) of Genomics Data? - Room 280

#5

Parallel RRT Algorithm for Robotic Motion Planning

#6

Posters and Networking - Exhibit Hall

#7

Conference Registration, Breakfast, Networking

#8

Welcome

#9

Lunch + Networking

#10

Afternoon Break and Networking

#11

SeqScreen: Accurate and Sensitive Functional Screening of Pathogenic Sequences via Ensemble Learning - Auditorium

#12

MaGNET: Uniform Sampling from Deep Generative Network Manifolds without Retraining - Auditorium

#13

Magnified Convolutional Enrichment Representation Model - Auditorium

#14

PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication - Auditorium

#15

Quantification of Myxococcus Xanthus Aggregation and Rippling Behaviors: Deep-Learning Transformation of Phase-Contrast into Fluorescence Microscopy Images - Auditorium